| N-BEATS: Neural basis expansion analysis for interpretable time series forecasting | May 24, 2019 | Time SeriesTime Series Analysis | CodeCode Available | 3 | 5 |
| SiMBA: Simplified Mamba-Based Architecture for Vision and Multivariate Time series | Mar 22, 2024 | Inductive BiasMamba | CodeCode Available | 3 | 5 |
| Time-series Transformer Generative Adversarial Networks | May 23, 2022 | Question AnsweringTime Series | CodeCode Available | 3 | 5 |
| Attention-based CNN-LSTM and XGBoost hybrid model for stock prediction | Apr 6, 2022 | PredictionStock Prediction | CodeCode Available | 2 | 5 |
| Large language models can be zero-shot anomaly detectors for time series? | May 23, 2024 | Anomaly DetectionLanguage Modeling | CodeCode Available | 2 | 5 |
| Koopa: Learning Non-stationary Time Series Dynamics with Koopman Predictors | May 30, 2023 | Time Series | CodeCode Available | 2 | 5 |
| A3T-GCN: Attention Temporal Graph Convolutional Network for Traffic Forecasting | Jun 20, 2020 | Time SeriesTime Series Analysis | CodeCode Available | 2 | 5 |
| Model scale versus domain knowledge in statistical forecasting of chaotic systems | Mar 13, 2023 | Time SeriesTime Series Analysis | CodeCode Available | 2 | 5 |
| A Survey on Time-Series Pre-Trained Models | May 18, 2023 | SurveyTime Series | CodeCode Available | 2 | 5 |
| A Survey on Graph Neural Networks for Time Series: Forecasting, Classification, Imputation, and Anomaly Detection | Jul 7, 2023 | Anomaly DetectionImputation | CodeCode Available | 2 | 5 |
| Interpretable Pre-Trained Transformers for Heart Time-Series Data | Jul 30, 2024 | DecoderElectrocardiography (ECG) | CodeCode Available | 2 | 5 |
| A Survey of Financial AI: Architectures, Advances and Open Challenges | Nov 1, 2024 | Decision MakingPortfolio Optimization | CodeCode Available | 2 | 5 |
| A Survey of Time Series Foundation Models: Generalizing Time Series Representation with Large Language Model | May 3, 2024 | Decision MakingFew-Shot Learning | CodeCode Available | 2 | 5 |
| ATFNet: Adaptive Time-Frequency Ensembled Network for Long-term Time Series Forecasting | Apr 8, 2024 | Time SeriesTime Series Forecasting | CodeCode Available | 2 | 5 |
| Learning Pattern-Specific Experts for Time Series Forecasting Under Patch-level Distribution Shift | Oct 13, 2024 | Time SeriesTime Series Forecasting | CodeCode Available | 2 | 5 |
| A Temporal Kolmogorov-Arnold Transformer for Time Series Forecasting | Jun 4, 2024 | DecoderKolmogorov-Arnold Networks | CodeCode Available | 2 | 5 |
| Harnessing Vision Models for Time Series Analysis: A Survey | Feb 13, 2025 | SurveyTime Series | CodeCode Available | 2 | 5 |
| How Can Time Series Analysis Benefit From Multiple Modalities? A Survey and Outlook | Mar 14, 2025 | Time SeriesTime Series Analysis | CodeCode Available | 2 | 5 |
| GinAR: An End-To-End Multivariate Time Series Forecasting Model Suitable for Variable Missing | May 18, 2024 | Multivariate Time Series ForecastingTime Series | CodeCode Available | 2 | 5 |
| Heterogeneity-Informed Meta-Parameter Learning for Spatiotemporal Time Series Forecasting | May 17, 2024 | Time SeriesTime Series Forecasting | CodeCode Available | 2 | 5 |
| JANA: Jointly Amortized Neural Approximation of Complex Bayesian Models | Feb 17, 2023 | DiagnosticTime Series | CodeCode Available | 2 | 5 |
| KAN4TSF: Are KAN and KAN-based models Effective for Time Series Forecasting? | Aug 21, 2024 | Mixture-of-ExpertsTime Series | CodeCode Available | 2 | 5 |
| From News to Forecast: Integrating Event Analysis in LLM-Based Time Series Forecasting with Reflection | Sep 26, 2024 | Time SeriesTime Series Forecasting | CodeCode Available | 2 | 5 |
| Large Language Models Are Zero-Shot Time Series Forecasters | Oct 11, 2023 | ImputationTime Series | CodeCode Available | 2 | 5 |
| Frequency-domain MLPs are More Effective Learners in Time Series Forecasting | Nov 10, 2023 | Time SeriesTime Series Forecasting | CodeCode Available | 2 | 5 |
